Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of AI solutions that enhance customer experiences.
- Company: Join a forward-thinking company shaping the future of AI-powered digital experiences.
- Benefits: Enjoy a hybrid work model, competitive salary, and a 20% bonus.
- Why this job: Be part of a high-impact team influencing AI-driven customer experiences with innovative technology.
- Qualifications: Seeking a hands-on technical leader with strong architectural experience in AI/ML.
- Other info: Ideal for those with a background in financial services or complex regulated environments.
The predicted salary is between 56400 - 84000 £ per year.
Lead Solution Architect – AI/ML
Location: Knutsford (Hybrid, 2 days per week in office)
Salary: Up to £94,000 (depending on experience) + 20% Bonus
Are you ready to shape the future of AI-powered digital experiences? We’re seeking a forward-thinking Lead AI/ML Architect with deep technical expertise and a hands-on approach to help drive our Conversational Assistant & AI strategy.
This is a highly impactful role where you will design and implement scalable, cloud-native AI solutions, while collaborating closely with cross-functional teams to deliver innovative, customer-centric products.
Key Responsibilities:
- Design, develop, and evolve AI-powered solutions that meet complex business requirements and enhance customer experiences.
- Architect secure, resilient, and scalable products using modern engineering practices and technologies (e.g. serverless, containerisation, elasticity).
- Partner with engineers, data scientists, and business stakeholders to translate business needs into effective technical solutions.
- Lead performance tuning, troubleshooting, and support activities for production systems.
- Ensure solutions align with enterprise architecture, governance, security, privacy, and regulatory standards.
- Evaluate new AI technologies and contribute to the development and standardisation of architectural patterns and tooling.
- Maintain awareness of emerging AI trends and integrate them into future-facing design strategies.
What We’re Looking For:
- A hands-on technical leader — ideally a Senior or Lead AI Engineer with strong architectural experience.
- Demonstrated experience designing and delivering complex, scalable systems in enterprise environments.
- Deep understanding of cloud technologies (preferably AWS), AI/ML frameworks, and modern CI/CD pipelines.
- Strong stakeholder management and communication skills, with the ability to operate across both technical and business domains.
- Experience applying architectural principles that balance innovation, security, operational risk, and cost.
- Familiarity with security-first solution design, including defence in depth and blast radius minimisation.
Desired Experience:
- Previous experience in financial services or similarly complex, regulated environments.
- Background in technical leadership across large-scale AI, payments, or cloud-native projects.
- Proven ability to guide cross-functional teams and influence enterprise technology strategy.
- Understanding of software delivery methodologies, product engineering, and operational support structures.
Apply now to join a high-impact team where your vision and expertise will directly influence the future of AI-driven customer experiences.
AI Lead Architect employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead Architect
✨Tip Number 1
Familiarise yourself with the latest AI/ML technologies and frameworks, especially those relevant to cloud environments like AWS. This knowledge will not only help you in interviews but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the AI and ML space, particularly those who have experience in financial services or regulated environments. Engaging with industry peers can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've designed and implemented scalable AI solutions in previous roles. Highlighting your hands-on experience will showcase your technical leadership and problem-solving skills.
✨Tip Number 4
Stay updated on emerging trends in AI and how they can be integrated into business strategies. Being able to speak knowledgeably about future-facing design strategies will set you apart as a candidate who is not just reactive but proactive.
We think you need these skills to ace AI Lead Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML architecture and cloud technologies. Emphasise your hands-on technical leadership and any projects that demonstrate your ability to design scalable systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's goals. Mention specific projects or experiences that showcase your skills in leading cross-functional teams and delivering innovative solutions.
Highlight Key Skills: Clearly outline your expertise in cloud technologies, particularly AWS, and your familiarity with AI/ML frameworks. Include any experience with CI/CD pipelines and security-first solution design to align with the job requirements.
Showcase Stakeholder Management: Provide examples of how you've successfully managed stakeholders in previous roles. Highlight your communication skills and ability to bridge the gap between technical and business domains, as this is crucial for the role.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI/ML frameworks and cloud technologies, particularly AWS. Highlight specific projects where you've designed scalable systems and how you approached complex business requirements.
✨Demonstrate Leadership Skills
As a Lead AI Architect, you'll need to guide cross-functional teams. Share examples of how you've successfully led teams in previous roles, focusing on your ability to influence technology strategy and manage stakeholders effectively.
✨Understand the Business Context
Make sure you can articulate how your technical solutions align with business goals. Research the company’s products and services, and be ready to discuss how your architectural decisions can enhance customer experiences.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends in AI and ML. Be prepared to discuss emerging technologies and how they could be integrated into future-facing design strategies, demonstrating your commitment to innovation.
